{"id":"W4414845814","doi":"10.55606/detector.v3i3.5573","title":"Analisis Penerapan Sistem Informasi Manajemen Rumah Sakit (SIMRS) terhadap Kinerja Pelayanan Kesehatan di Rumah Sakit X","year":2025,"lang":"en","type":"article","venue":"Detector Jurnal Inovasi Riset Ilmu Kesehatan","topic":"Healthcare Quality and Satisfaction","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Information system; Service (business); Information quality; Hospital information system; Information technology; Organizational structure; Service quality; Management information systems","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003472685,0.0003164933,0.000380982,0.001707444,0.0007862078,0.002430662,0.0002772963,0.0002935787,0.00737544],"category_scores_gemma":[0.01044245,0.0001573075,0.0004355876,0.003599304,0.000676356,0.001287581,0.0009640253,0.0006749832,0.001057195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008552974,"about_ca_system_score_gemma":0.001057349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002817233,"about_ca_topic_score_gemma":0.002695602,"domain_scores_codex":[0.997116,0.0009884428,0.0003589646,0.0002080162,0.001128719,0.0001998463],"domain_scores_gemma":[0.9917163,0.004888074,0.001136041,0.0002590267,0.001784519,0.0002160001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004906728,0.0003598876,0.6467152,0.001421336,0.0002822266,0.001286099,0.05707164,0.000365953,0.002699866,0.005565205,0.006564966,0.2771769],"study_design_scores_gemma":[0.0000136246,0.0004009446,0.8726961,0.0003933059,0.0001957327,0.001314748,0.0910648,0.001527655,0.002185308,0.001223953,0.02893422,0.0000497066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766548,0.001228805,0.001762584,0.0005345573,0.00006053237,0.0001351381,0.0006346464,0.00003942366,0.01894951],"genre_scores_gemma":[0.9937442,0.0007868247,0.001467311,0.00007258276,0.00002448801,0.00008921483,0.000511996,0.00001103734,0.003292395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00737544,"threshold_uncertainty_score":0.02467334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06252830684614173,"score_gpt":0.4275396677006343,"score_spread":0.3650113608544926,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}